Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

JFrog

Empowering Kubernetes Security: JFrog's Seamless Integration with AWS AssumeRole

In the fast-paced environment of cloud-native apps, security and seamless connections are a priority. Many DevOps and SecOps professionals use Kubernetes native features to handle their container security, keeping a tight grip on access and secrets to improve security posture. The integration between AWS AssumeRole and JFrog Access in Amazon Elastic Kubernetes Services (EKS), enhances enterprise security by automating secrets management.

N-Day Hijack: Analyzing the lifespan of package hijacking attacks

Software package hijacking has become a prominent concern for individuals, businesses, and the cybersecurity community at large. We’ve seen this new threat trend rise over the past couple of years, with the potential to severely impact the software supply chain by attackers exploiting software packages to execute malicious code. This blog post details a case study conducted by our security research team, in an effort to trace the typical time before a package hijack is detected.

Navigating AI's New Horizons: Empowering AI Model Development, Security and Compliance

The rapid rise of artificial intelligence, more specifically, generative AI systems such as OpenAI’s ChatGPT, has simultaneously spurred intense development and concern over the past year. On the 30th of October, President Joe Biden signed an Executive Order that urges new federal standards for AI development, safety, security, and trustworthiness that also address many other facets of AI risk.

JFrog Log Analytics with Datadog just got better!

The software supply chain today runs differently than it did just five years ago. The number of available tools, languages, and packages used have exploded. Further, the growing mix of OSS packages puts organizations at risk of outdated software, untracked dependencies, and non-compliant licenses. To add to the chaos, teams are now increasingly distributed and greater in number. All of this dramatically increases the number of inputs within the software supply chain.